Literature DB >> 26275670

Computational Analysis and Binding Site Identification of Type III Secretion System ATPase from Pseudomonas aeruginosa.

Raju Dash1, S M Zahid Hosen2, Tasniha Sultana1, Md Junaid3, Mohuya Majumder1, Ismat Ara Ishat1, Mir Muhammad Nasir Uddin4.   

Abstract

In many gram-negative bacteria, the type III secretion system (T3SS), as a virulence factor, is an attractive target for developing novel antibacterial. Regarding this, in our study, we aimed to identify the putative drug target for Pseudomonas aeruginosa, considering ATPase enzyme involved in the type III secretion system. Selective protein sequence of P. aeruginosa involved in the T3SS was retrieved from NCBI databases, and its homologues were subjected to phylogenetic analysis. Its association in T3SS was analyzed via STRING, and the 3D structure was determined by means of homology modeling followed by intensive optimization and validation. The binding site was predicted by 3DLigandSite and examined through molecular docking simulation by Autodock Vina with salicylidene acylhydrazide class of virulence-blocking compounds. PROCHECK analysis showed that 96.7 % of the residues were in the most favored regions, 1.9 % were in the additional allowed region, and 1.4 % were in the generously allowed region of the Ramachandran plot. The refined model yielded ERRAT scores of 88.124 and Verify3D value of 0.2, which indicates that the environmental profile of the model is good. The best binding affinity was observed by ME0055 compound, and ALA160, ALA161, GlY162, GLY163, GLY164, GLY165, SER166, THR167, TYR338, and PRO339 residues were found to be having complementary in the ligand-binding site. However, these findings should be further confirmed by wet lab studies for design a targeted therapeutic agent.

Entities:  

Keywords:  ATPase; Phylogenetic analysis; Pseudomonas aeruginosa; Salicylidene acylhydrazide; Type III secretion system

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Year:  2015        PMID: 26275670     DOI: 10.1007/s12539-015-0121-z

Source DB:  PubMed          Journal:  Interdiscip Sci        ISSN: 1867-1462            Impact factor:   2.233


  3 in total

1.  Dynamic insights into the effects of nonsynonymous polymorphisms (nsSNPs) on loss of TREM2 function.

Authors:  Raju Dash; Yeasmin Akter Munni; Sarmistha Mitra; Ho Jin Choi; Sultana Israt Jahan; Apusi Chowdhury; Tae Jung Jang; Il Soo Moon
Journal:  Sci Rep       Date:  2022-06-07       Impact factor: 4.996

2.  In silico-based vaccine design against Ebola virus glycoprotein.

Authors:  Raju Dash; Rasel Das; Md Junaid; Md Forhad Chowdhury Akash; Ashekul Islam; Sm Zahid Hosen
Journal:  Adv Appl Bioinform Chem       Date:  2017-03-21

3.  Structural Consequence of Non-Synonymous Single-Nucleotide Variants in the N-Terminal Domain of LIS1.

Authors:  Ho Jin Choi; Sarmistha Mitra; Yeasmin Akter Munni; Raju Dash; Sarmin Ummey Habiba; Md Sohel; Sultana Israt Jahan; Tae Jung Jang; Il Soo Moon
Journal:  Int J Mol Sci       Date:  2022-03-14       Impact factor: 5.923

  3 in total

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